Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection

For generating ROI chromatic indices the python library vegindex (0.7.2) in python is used. For calculating hazeness values the R hazer (1.1.1.) and jpeg (0.1) libraries are used. Data Creation SuperSites Vegetation Monitoring Protocol - 17.1.7 AusCover WingScapes RGB Digital Camera Set Up Credit Th...

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Other Authors: Terrestrial Ecosystem Research Network (pointOfContact), Terrestrial Ecosystem Research Network (publisher), School of Natural Science, University of Tasmania (hasAssociationWith), Wardlaw, Tim (author), Sustainable Timber Tasmania, Tasmania Government (hasAssociationWith), Phillips, Alison (coAuthor), Wardlaw, Tim (pointOfContact), Terrestrial Ecosystem Research Network (distributor)
Format: Dataset
Language:unknown
Published: Terrestrial Ecosystem Research Network
Subjects:
Online Access:https://doi.org/10.4227/05/56134C1310F16
https://researchdata.edu.au/warra-tall-eucalypt-data-collection/1884534
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/20b7d4da-44b6-490c-aeea-7f59ee3cc19b
https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/
id ftands:oai:ands.org.au::1884534
record_format openpolar
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic environment
Warra Tall Eucalypt SuperSite
wrra_overstorey_oblique_01
wrra_understorey_oblique_01
wrra_overstorey_nadir_01
RGB values (Unitless)
Unitless
Green chromatic coordinate (Unitless)
Red chromatic coordinate (Unitless)
PLANT PHENOLOGY
EARTH SCIENCE
BIOSPHERE
VEGETATION
FOREST COMPOSITION/VEGETATION STRUCTURE
ECOSYSTEM FUNCTIONS
ECOLOGICAL DYNAMICS
VISIBLE WAVELENGTHS
SPECTRAL/ENGINEERING
VISIBLE IMAGERY
VEGETATION INDEX
PLANT CHARACTERISTICS
1 minute - &lt
1 hour
Terrestrial Ecology
BIOLOGICAL SCIENCES
ECOLOGY
Environmental Monitoring
ENVIRONMENTAL SCIENCES
ENVIRONMENTAL SCIENCE AND MANAGEMENT
TERN Ecosystem Processes
phenocam images
vegetation phenology
vegetation greeness
vegetation colour
phenology transiton
wrra
spellingShingle environment
Warra Tall Eucalypt SuperSite
wrra_overstorey_oblique_01
wrra_understorey_oblique_01
wrra_overstorey_nadir_01
RGB values (Unitless)
Unitless
Green chromatic coordinate (Unitless)
Red chromatic coordinate (Unitless)
PLANT PHENOLOGY
EARTH SCIENCE
BIOSPHERE
VEGETATION
FOREST COMPOSITION/VEGETATION STRUCTURE
ECOSYSTEM FUNCTIONS
ECOLOGICAL DYNAMICS
VISIBLE WAVELENGTHS
SPECTRAL/ENGINEERING
VISIBLE IMAGERY
VEGETATION INDEX
PLANT CHARACTERISTICS
1 minute - &lt
1 hour
Terrestrial Ecology
BIOLOGICAL SCIENCES
ECOLOGY
Environmental Monitoring
ENVIRONMENTAL SCIENCES
ENVIRONMENTAL SCIENCE AND MANAGEMENT
TERN Ecosystem Processes
phenocam images
vegetation phenology
vegetation greeness
vegetation colour
phenology transiton
wrra
Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection
topic_facet environment
Warra Tall Eucalypt SuperSite
wrra_overstorey_oblique_01
wrra_understorey_oblique_01
wrra_overstorey_nadir_01
RGB values (Unitless)
Unitless
Green chromatic coordinate (Unitless)
Red chromatic coordinate (Unitless)
PLANT PHENOLOGY
EARTH SCIENCE
BIOSPHERE
VEGETATION
FOREST COMPOSITION/VEGETATION STRUCTURE
ECOSYSTEM FUNCTIONS
ECOLOGICAL DYNAMICS
VISIBLE WAVELENGTHS
SPECTRAL/ENGINEERING
VISIBLE IMAGERY
VEGETATION INDEX
PLANT CHARACTERISTICS
1 minute - &lt
1 hour
Terrestrial Ecology
BIOLOGICAL SCIENCES
ECOLOGY
Environmental Monitoring
ENVIRONMENTAL SCIENCES
ENVIRONMENTAL SCIENCE AND MANAGEMENT
TERN Ecosystem Processes
phenocam images
vegetation phenology
vegetation greeness
vegetation colour
phenology transiton
wrra
description For generating ROI chromatic indices the python library vegindex (0.7.2) in python is used. For calculating hazeness values the R hazer (1.1.1.) and jpeg (0.1) libraries are used. Data Creation SuperSites Vegetation Monitoring Protocol - 17.1.7 AusCover WingScapes RGB Digital Camera Set Up Credit The research site was established in 1995 by Forestry Tasmania and joined the TERN SuperSite Network in 2013. This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. Purpose Time series of vegetation phenological observations are collected to understand ecosystems annual cycles. Phenological timeseries can be used for ground-truthing remote sensing data products, for studies of climate change impacts on terrestrial ecosystems, and as a standard for earth system models. Fixed cameras installed at the Warra Tall Eucalypt SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products. Images are captured hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on a regular basis. The Warra Tall Eucalypt SuperSite was established in 2012 and is located in a stand of tall, mixed-aged Eucalyptus obliqua forest (1.5, 125 and >250 years-old) with a rainforest / wet sclerophyll understorey and a dense man-fern ( Dicksonia antarctica ) ground-layer. The site experienced a fire in January 2019, which consumed the ground layer ...
author2 Terrestrial Ecosystem Research Network (pointOfContact)
Terrestrial Ecosystem Research Network (publisher)
School of Natural Science, University of Tasmania (hasAssociationWith)
Wardlaw, Tim (author)
Sustainable Timber Tasmania, Tasmania Government (hasAssociationWith)
Phillips, Alison (coAuthor)
Wardlaw, Tim (pointOfContact)
Terrestrial Ecosystem Research Network (distributor)
format Dataset
title Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection
title_short Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection
title_full Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection
title_fullStr Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection
title_full_unstemmed Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection
title_sort warra tall eucalypt supersite phenocam images and phenology data collection
publisher Terrestrial Ecosystem Research Network
url https://doi.org/10.4227/05/56134C1310F16
https://researchdata.edu.au/warra-tall-eucalypt-data-collection/1884534
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/20b7d4da-44b6-490c-aeea-7f59ee3cc19b
https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/
op_coverage Spatial: TERN’s Warra Tall Eucalypt SuperSite is located 60 km west south-west of Hobart, Tasmania.
Spatial: northlimit=-43.098625; southlimit=-43.098625; westlimit=146.683758; eastLimit=146.683758; projection=WGS84 (EPSG:4326)
Temporal: From 2015-03-11
long_lat ENVELOPE(146.683758,146.683758,-43.098625,-43.098625)
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source School of Natural Science, University of Tasmania
op_relation https://researchdata.edu.au/warra-tall-eucalypt-data-collection/1884534
20b7d4da-44b6-490c-aeea-7f59ee3cc19b
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/20b7d4da-44b6-490c-aeea-7f59ee3cc19b
http://dx.doi.org/10.4227/05/56134C1310F16
https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/
dataset
op_doi https://doi.org/10.4227/05/56134C1310F16
_version_ 1766257580017975296
spelling ftands:oai:ands.org.au::1884534 2023-05-15T13:52:49+02:00 Warra Tall Eucalypt SuperSite Phenocam Images and Phenology Data Collection Terrestrial Ecosystem Research Network (pointOfContact) Terrestrial Ecosystem Research Network (publisher) School of Natural Science, University of Tasmania (hasAssociationWith) Wardlaw, Tim (author) Sustainable Timber Tasmania, Tasmania Government (hasAssociationWith) Phillips, Alison (coAuthor) Wardlaw, Tim (pointOfContact) Terrestrial Ecosystem Research Network (distributor) Spatial: TERN’s Warra Tall Eucalypt SuperSite is located 60 km west south-west of Hobart, Tasmania. Spatial: northlimit=-43.098625; southlimit=-43.098625; westlimit=146.683758; eastLimit=146.683758; projection=WGS84 (EPSG:4326) Temporal: From 2015-03-11 https://doi.org/10.4227/05/56134C1310F16 https://researchdata.edu.au/warra-tall-eucalypt-data-collection/1884534 https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/20b7d4da-44b6-490c-aeea-7f59ee3cc19b https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/ unknown Terrestrial Ecosystem Research Network https://researchdata.edu.au/warra-tall-eucalypt-data-collection/1884534 20b7d4da-44b6-490c-aeea-7f59ee3cc19b https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/20b7d4da-44b6-490c-aeea-7f59ee3cc19b http://dx.doi.org/10.4227/05/56134C1310F16 https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/ dataset School of Natural Science, University of Tasmania environment Warra Tall Eucalypt SuperSite wrra_overstorey_oblique_01 wrra_understorey_oblique_01 wrra_overstorey_nadir_01 RGB values (Unitless) Unitless Green chromatic coordinate (Unitless) Red chromatic coordinate (Unitless) PLANT PHENOLOGY EARTH SCIENCE BIOSPHERE VEGETATION FOREST COMPOSITION/VEGETATION STRUCTURE ECOSYSTEM FUNCTIONS ECOLOGICAL DYNAMICS VISIBLE WAVELENGTHS SPECTRAL/ENGINEERING VISIBLE IMAGERY VEGETATION INDEX PLANT CHARACTERISTICS 1 minute - &lt 1 hour Terrestrial Ecology BIOLOGICAL SCIENCES ECOLOGY Environmental Monitoring ENVIRONMENTAL SCIENCES ENVIRONMENTAL SCIENCE AND MANAGEMENT TERN Ecosystem Processes phenocam images vegetation phenology vegetation greeness vegetation colour phenology transiton wrra dataset ftands https://doi.org/10.4227/05/56134C1310F16 2022-08-08T22:29:00Z For generating ROI chromatic indices the python library vegindex (0.7.2) in python is used. For calculating hazeness values the R hazer (1.1.1.) and jpeg (0.1) libraries are used. Data Creation SuperSites Vegetation Monitoring Protocol - 17.1.7 AusCover WingScapes RGB Digital Camera Set Up Credit The research site was established in 1995 by Forestry Tasmania and joined the TERN SuperSite Network in 2013. This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project. Purpose Time series of vegetation phenological observations are collected to understand ecosystems annual cycles. Phenological timeseries can be used for ground-truthing remote sensing data products, for studies of climate change impacts on terrestrial ecosystems, and as a standard for earth system models. Fixed cameras installed at the Warra Tall Eucalypt SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products. Images are captured hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on a regular basis. The Warra Tall Eucalypt SuperSite was established in 2012 and is located in a stand of tall, mixed-aged Eucalyptus obliqua forest (1.5, 125 and >250 years-old) with a rainforest / wet sclerophyll understorey and a dense man-fern ( Dicksonia antarctica ) ground-layer. The site experienced a fire in January 2019, which consumed the ground layer ... Dataset Antarc* Antarctica Research Data Australia (Australian National Data Service - ANDS) ENVELOPE(146.683758,146.683758,-43.098625,-43.098625)